Comparison
ggrun vs openmodelz
Verdict
Pick ggrun if ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities; pick openmodelz if openModelZ automates and scales large language model inferences on Kubernetes.
Markdown twin · ggrun alternatives · openmodelz alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | ggrun | openmodelz |
|---|---|---|
| Maintenance | Very active (1d since push) As of 6d · github_public_v1 | Dormant (1004d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 6d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ggrun
- Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server
- openmodelz
- Automate and scale inference of large language models on Kubernetes.
Stars
- ggrun
- 264
- openmodelz
- 282
Forks
- ggrun
- 14
- openmodelz
- 26
Open issues
- ggrun
- 1
- openmodelz
- 23
Language
- ggrun
- Go
- openmodelz
- Go
Adopt for
- ggrun
- ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.
- openmodelz
- OpenModelZ automates and scales large language model inferences on Kubernetes.
Persona
- ggrun
- -
- openmodelz
- -
Runtime
- ggrun
- -
- openmodelz
- -
License
- ggrun
- MIT License allows using ggrun freely in both open source and commercial projects, with conditions that the copyright notice and permission notice are preserved.
- openmodelz
- Apache-2.0
Last pushed
- ggrun
- Aug 11, 2026
- openmodelz
- Nov 3, 2023
Categories
- ggrun
- Inference & Serving
- openmodelz
- Inference & Serving
Trust and health
Maintenance
- ggrun
- Very active (96%)
- openmodelz
- Dormant (18%)
Days since push
- ggrun
- 1d
- openmodelz
- 1004d
Open issues (now)
- ggrun
- 1
- openmodelz
- 23
Owner type
- ggrun
- User
- openmodelz
- Organization
OSV dependency advisories
- ggrun
- No lockfile (source not queried)
- openmodelz
- Published findings
Full report
- ggrun
- Trust report
- openmodelz
- Trust report
Choose ggrun if…
- License: ggrun is MIT, openmodelz is Apache-2.0.
- Pricing: Free to use under MIT license; no direct costs involved in usage..
- Tags unique to ggrun: cuda, gguf, golang, inference-server.
- When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs
When NOT to use ggrun
- For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity
- When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
Choose openmodelz if…
- License: openmodelz is Apache-2.0, ggrun is MIT.
- Tags unique to openmodelz: cluster-manager, hacktoberfest, inference, llmops.
- When you need automatic scaling of large language models based on current load on Kubernetes clusters.
When NOT to use openmodelz
- Avoid using if your deployment setup does not include Kubernetes or another cluster management system that OpenModelZ supports.
- Do not use this tool if you do not need automatic scaling features, as manual setup might be more straightforward for simpler deployments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (raketenkater/ggrun) · observed Aug 13, 2026
- GitHub forks (raketenkater/ggrun) · observed Aug 13, 2026
- Last push (raketenkater/ggrun) · observed Aug 11, 2026
- License file (MIT) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (tensorchord/openmodelz) · observed Aug 3, 2026
- GitHub forks (tensorchord/openmodelz) · observed Aug 3, 2026
- Last push (tensorchord/openmodelz) · observed Nov 3, 2023
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ggrun 264 · openmodelz 282 (synced Aug 13, 2026).
Common questions
- What is the difference between ggrun and openmodelz?
- ggrun: Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server. openmodelz: Automate and scale inference of large language models on Kubernetes.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ggrun over openmodelz?
- Choose ggrun over openmodelz when License: ggrun is MIT, openmodelz is Apache-2.0; Pricing: Free to use under MIT license; no direct costs involved in usage.; Tags unique to ggrun: cuda, gguf, golang, inference-server; When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs.
- When should I choose openmodelz over ggrun?
- Choose openmodelz over ggrun when License: openmodelz is Apache-2.0, ggrun is MIT; Tags unique to openmodelz: cluster-manager, hacktoberfest, inference, llmops; When you need automatic scaling of large language models based on current load on Kubernetes clusters.
- When should I avoid ggrun?
- For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
- When should I avoid openmodelz?
- Avoid using if your deployment setup does not include Kubernetes or another cluster management system that OpenModelZ supports. Do not use this tool if you do not need automatic scaling features, as manual setup might be more straightforward for simpler deployments.
- Is ggrun or openmodelz more popular on GitHub?
- openmodelz has more GitHub stars (282 vs 264). Stars measure visibility, not whether either tool fits your constraints.
- Are ggrun and openmodelz open source?
- Yes - both are open-source projects on GitHub (ggrun: MIT, openmodelz: Apache-2.0).
- Where can I find alternatives to ggrun or openmodelz?
- GraphCanon lists graph-backed alternatives at ggrun alternatives and openmodelz alternatives (ggrun markdown twin, openmodelz markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ggrun or openmodelz?
- ggrun: Very active. openmodelz: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for ggrun and openmodelz?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ggrun trust report; openmodelz trust report.